Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	428
Missing cells	88
Missing cells (%)	1.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	67.0 KiB
Average record size in memory	160.3 B

Variable types

NUM	11
BOOL	8
CAT	1

Warnings

`vehicle_name` has a high cardinality: 425 distinct values	High cardinality
`dealer_cost` is highly correlated with `retail_price`	High correlation
`retail_price` is highly correlated with `dealer_cost`	High correlation
`hwy_mpg` is highly correlated with `city_mpg`	High correlation
`city_mpg` is highly correlated with `hwy_mpg`	High correlation
`city_mpg` has 15 (3.5%) missing values	Missing
`hwy_mpg` has 15 (3.5%) missing values	Missing
`len` has 26 (6.1%) missing values	Missing
`width` has 28 (6.5%) missing values	Missing
`vehicle_name` is uniformly distributed	Uniform

Reproduction

Analysis started	2020-12-04 12:48:40.516332
Analysis finished	2020-12-04 12:49:03.797543
Duration	23.28 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

vehicle_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	425
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

Mercedes-Benz C320 4dr	2
Infiniti G35 4dr	2
Mercedes-Benz C240 4dr	2
Ford F-150 Regular Cab XL	1
Kia Amanti 4dr	1
Other values (420)	420

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
Mercedes-Benz C320 4dr	2	0.5%
Infiniti G35 4dr	2	0.5%
Mercedes-Benz C240 4dr	2	0.5%
Ford F-150 Regular Cab XL	1	0.2%
Kia Amanti 4dr	1	0.2%
Honda Pilot LX	1	0.2%
Mazda B4000 SE Cab Plus	1	0.2%
Oldsmobile Silhouette GL	1	0.2%
Toyota Corolla S 4dr	1	0.2%
Saab 9-5 Aero	1	0.2%
Other values (415)	415	97.0%

Frequencies of value counts

Unique

Unique	422 ?
Unique (%)	98.6%

Histogram of lengths of the category

Length

Max length	45
Median length	21
Mean length	21.94392523
Min length	8

smallsporty_compactlarge_sedan
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

1	244
0	184

Common Values
Chart

Value	Count	Frequency (%)
1	244	57.0%
0	184	43.0%

sports_car
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

0	379
1	49

Common Values
Chart

Value	Count	Frequency (%)
0	379	88.6%
1	49	11.4%

suv
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

0	368
1	60

Common Values
Chart

Value	Count	Frequency (%)
0	368	86.0%
1	60	14.0%

wagon
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

0	398
1	30

Common Values
Chart

Value	Count	Frequency (%)
0	398	93.0%
1	30	7.0%

minivan
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

0	408
1	20

Common Values
Chart

Value	Count	Frequency (%)
0	408	95.3%
1	20	4.7%

pickup
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

0	404
1	24

Common Values
Chart

Value	Count	Frequency (%)
0	404	94.4%
1	24	5.6%

awd
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

0	336
1	92

Common Values
Chart

Value	Count	Frequency (%)
0	336	78.5%
1	92	21.5%

rwd
Boolean

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.3 KiB

0	318
1	110

Common Values
Chart

Value	Count	Frequency (%)
0	318	74.3%
1	110	25.7%

retail_price
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	410
Distinct (%)	95.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32774.85514
Minimum	10280
Maximum	192465
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	10280
5-th percentile	13691
Q1	20334.25
median	27635
Q3	39205
95-th percentile	72864.25
Maximum	192465
Range	182185
Interquartile range (IQR)	18870.75

Descriptive statistics

Standard deviation	19431.71667
Coefficient of variation (CV)	0.5928848988
Kurtosis	13.87920552
Mean	32774.85514
Median Absolute Deviation (MAD)	8314
Skewness	2.798099275
Sum	14027638
Variance	377591612.9
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19860	2	0.5%
15389	2	0.5%
31545	2	0.5%
33995	2	0.5%
19635	2	0.5%
21595	2	0.5%
49995	2	0.5%
29995	2	0.5%
35940	2	0.5%
25700	2	0.5%
Other values (400)	408	95.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10280	1	0.2%
10539	1	0.2%
10760	1	0.2%
10995	1	0.2%
11155	1	0.2%

Value	Count	Frequency (%)
192465	1	0.2%
128420	1	0.2%
126670	1	0.2%
121770	1	0.2%
94820	1	0.2%

dealer_cost
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	425
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30014.70093
Minimum	9875
Maximum	173560
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	9875
5-th percentile	12836.65
Q1	18866
median	25294.5
Q3	35710.25
95-th percentile	66471.95
Maximum	173560
Range	163685
Interquartile range (IQR)	16844.25

Descriptive statistics

Standard deviation	17642.11775
Coefficient of variation (CV)	0.5877825599
Kurtosis	13.94616377
Mean	30014.70093
Median Absolute Deviation (MAD)	7531
Skewness	2.834740404
Sum	12846292
Variance	311244318.7
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19638	2	0.5%
14207	2	0.5%
68306	2	0.5%
37886	1	0.2%
24926	1	0.2%
21198	1	0.2%
23883	1	0.2%
24909	1	0.2%
13650	1	0.2%
24915	1	0.2%
Other values (415)	415	97.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9875	1	0.2%
10107	1	0.2%
10144	1	0.2%
10319	1	0.2%
10642	1	0.2%

Value	Count	Frequency (%)
173560	1	0.2%
119600	1	0.2%
117854	1	0.2%
113388	1	0.2%
88324	1	0.2%

engine_size_(l)
Real number (ℝ_≥0)

Distinct	43
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.196728972
Minimum	1.3
Maximum	8.3
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	1.3
5-th percentile	1.7
Q1	2.375
median	3
Q3	3.9
95-th percentile	5.3
Maximum	8.3
Range	7
Interquartile range (IQR)	1.525

Descriptive statistics

Standard deviation	1.108594718
Coefficient of variation (CV)	0.3467903373
Kurtosis	0.5419435378
Mean	3.196728972
Median Absolute Deviation (MAD)	0.8
Skewness	0.7081519825
Sum	1368.2
Variance	1.22898225
Monotocity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	42	9.8%
3.5	34	7.9%
2	30	7.0%
2.5	26	6.1%
2.4	23	5.4%
1.8	23	5.4%
4.6	21	4.9%
4.2	20	4.7%
3.2	18	4.2%
3.8	17	4.0%
Other values (33)	174	40.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.3	2	0.5%
1.4	1	0.2%
1.5	6	1.4%
1.6	10	2.3%
1.7	4	0.9%

Value	Count	Frequency (%)
8.3	1	0.2%
6.8	1	0.2%
6	6	1.4%
5.7	3	0.7%
5.6	2	0.5%

cyl
Real number (ℝ)

Distinct	8
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.775700935
Minimum	-1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	-1
5-th percentile	4
Q1	4
median	6
Q3	6
95-th percentile	8
Maximum	12
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.622779362
Coefficient of variation (CV)	0.2809666532
Kurtosis	1.396548909
Mean	5.775700935
Median Absolute Deviation (MAD)	2
Skewness	0.2342651493
Sum	2472
Variance	2.633412856
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
6	190	44.4%
4	136	31.8%
8	87	20.3%
5	7	1.6%
12	3	0.7%
10	2	0.5%
-1	2	0.5%
3	1	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	2	0.5%
3	1	0.2%
4	136	31.8%
5	7	1.6%
6	190	44.4%

Value	Count	Frequency (%)
12	3	0.7%
10	2	0.5%
8	87	20.3%
6	190	44.4%
5	7	1.6%

hp
Real number (ℝ_≥0)

Distinct	110
Distinct (%)	25.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	215.885514
Minimum	73
Maximum	500
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	73
5-th percentile	115
Q1	165
median	210
Q3	255
95-th percentile	338.25
Maximum	500
Range	427
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	71.83603158
Coefficient of variation (CV)	0.3327505873
Kurtosis	1.552158629
Mean	215.885514
Median Absolute Deviation (MAD)	45
Skewness	0.9303307363
Sum	92399
Variance	5160.415434
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	17	4.0%
210	14	3.3%
215	14	3.3%
225	13	3.0%
240	13	3.0%
220	12	2.8%
140	12	2.8%
300	11	2.6%
170	11	2.6%
130	10	2.3%
Other values (100)	301	70.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
73	1	0.2%
93	1	0.2%
100	1	0.2%
103	5	1.2%
104	3	0.7%

Value	Count	Frequency (%)
500	1	0.2%
493	3	0.7%
477	1	0.2%
450	1	0.2%
420	1	0.2%

city_mpg
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	6.8%
Missing	15
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%

Mean	20.08958838
Minimum	10
Maximum	60
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	10
5-th percentile	14
Q1	17
median	19
Q3	21
95-th percentile	29
Maximum	60
Range	50
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	5.219382573
Coefficient of variation (CV)	0.2598053516
Kurtosis	16.61615357
Mean	20.08958838
Median Absolute Deviation (MAD)	2
Skewness	2.928557209
Sum	8297
Variance	27.24195444
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
18	68	15.9%
20	56	13.1%
17	40	9.3%
21	38	8.9%
19	38	8.9%
16	29	6.8%
24	22	5.1%
26	21	4.9%
22	18	4.2%
15	17	4.0%
Other values (18)	66	15.4%
(Missing)	15	3.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	1	0.2%
12	2	0.5%
13	11	2.6%
14	13	3.0%
15	17	4.0%

Value	Count	Frequency (%)
60	1	0.2%
59	1	0.2%
46	1	0.2%
38	1	0.2%
36	1	0.2%

hwy_mpg
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	32
Distinct (%)	7.7%
Missing	15
Missing (%)	3.5%
Infinite	0
Infinite (%)	0.0%

Mean	26.90556901
Minimum	12
Maximum	66
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	12
5-th percentile	18
Q1	24
median	26
Q3	29
95-th percentile	36
Maximum	66
Range	54
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	5.70371136
Coefficient of variation (CV)	0.2119899921
Kurtosis	6.425357238
Mean	26.90556901
Median Absolute Deviation (MAD)	3
Skewness	1.350295982
Sum	11112
Variance	32.53232328
Monotocity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
26	54	12.6%
25	43	10.0%
28	38	8.9%
29	34	7.9%
27	27	6.3%
24	26	6.1%
30	23	5.4%
23	16	3.7%
21	16	3.7%
19	15	3.5%
Other values (22)	121	28.3%
(Missing)	15	3.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12	1	0.2%
14	1	0.2%
16	2	0.5%
17	9	2.1%
18	9	2.1%

Value	Count	Frequency (%)
66	1	0.2%
51	2	0.5%
46	1	0.2%
44	1	0.2%
43	2	0.5%

weight
Real number (ℝ_≥0)

Distinct	347
Distinct (%)	81.5%
Missing	2
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%

Mean	3577.213615
Minimum	1850
Maximum	7190
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	1850
5-th percentile	2513
Q1	3102
median	3474.5
Q3	3974.25
95-th percentile	4996.75
Maximum	7190
Range	5340
Interquartile range (IQR)	872.25

Descriptive statistics

Standard deviation	760.4376628
Coefficient of variation (CV)	0.2125782088
Kurtosis	1.678289561
Mean	3577.213615
Median Absolute Deviation (MAD)	428
Skewness	0.8933847105
Sum	1523893
Variance	578265.439
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3285	4	0.9%
3175	4	0.9%
3470	3	0.7%
4024	3	0.7%
3217	3	0.7%
2676	3	0.7%
4052	3	0.7%
2692	3	0.7%
3430	3	0.7%
3428	3	0.7%
Other values (337)	394	92.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1850	1	0.2%
2035	1	0.2%
2055	1	0.2%
2085	1	0.2%
2195	1	0.2%

Value	Count	Frequency (%)
7190	1	0.2%
6400	1	0.2%
6133	1	0.2%
5969	1	0.2%
5879	1	0.2%

wheel_base
Real number (ℝ_≥0)

Distinct	40
Distinct (%)	9.4%
Missing	2
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%

Mean	108.1737089
Minimum	89
Maximum	144
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	89
5-th percentile	95.25
Q1	103
median	107
Q3	112
95-th percentile	123
Maximum	144
Range	55
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	8.326449076
Coefficient of variation (CV)	0.07697294619
Kurtosis	2.112464038
Mean	108.1737089
Median Absolute Deviation (MAD)	5
Skewness	0.9552742051
Sum	46082
Variance	69.32975421
Monotocity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
107	45	10.5%
103	30	7.0%
106	27	6.3%
112	25	5.8%
104	22	5.1%
105	21	4.9%
115	20	4.7%
111	17	4.0%
109	17	4.0%
101	16	3.7%
Other values (30)	186	43.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
89	2	0.5%
93	9	2.1%
95	11	2.6%
96	5	1.2%
97	3	0.7%

Value	Count	Frequency (%)
144	2	0.5%
140	1	0.2%
137	1	0.2%
133	2	0.5%
131	1	0.2%

len
Real number (ℝ_≥0)

MISSING

Distinct	61
Distinct (%)	15.2%
Missing	26
Missing (%)	6.1%
Infinite	0
Infinite (%)	0.0%

Mean	185.1268657
Minimum	143
Maximum	227
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	143
5-th percentile	162.05
Q1	177
median	186
Q3	193
95-th percentile	207
Maximum	227
Range	84
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	13.31252292
Coefficient of variation (CV)	0.07191027013
Kurtosis	0.3112242615
Mean	185.1268657
Median Absolute Deviation (MAD)	8
Skewness	-0.09622117289
Sum	74421
Variance	177.2232665
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
178	26	6.1%
190	22	5.1%
187	17	4.0%
192	14	3.3%
200	13	3.0%
177	13	3.0%
188	13	3.0%
179	13	3.0%
175	12	2.8%
183	12	2.8%
Other values (51)	247	57.7%
(Missing)	26	6.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
143	1	0.2%
144	1	0.2%
150	1	0.2%
153	2	0.5%
154	1	0.2%

Value	Count	Frequency (%)
227	1	0.2%
221	1	0.2%
219	2	0.5%
215	2	0.5%
212	7	1.6%

width
Real number (ℝ_≥0)

MISSING

Distinct	18
Distinct (%)	4.5%
Missing	28
Missing (%)	6.5%
Infinite	0
Infinite (%)	0.0%

Mean	71.2925
Minimum	64
Maximum	81
Zeros	0
Zeros (%)	0.0%
Memory size	3.3 KiB

Quantile statistics

Minimum	64
5-th percentile	67
Q1	69
median	71
Q3	73
95-th percentile	78
Maximum	81
Range	17
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.393483915
Coefficient of variation (CV)	0.04759945177
Kurtosis	-0.2123582009
Mean	71.2925
Median Absolute Deviation (MAD)	2
Skewness	0.5607116725
Sum	28517
Variance	11.51573308
Monotocity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
72	55	12.9%
68	47	11.0%
69	42	9.8%
73	42	9.8%
70	41	9.6%
71	36	8.4%
67	36	8.4%
74	21	4.9%
75	17	4.0%
78	16	3.7%
Other values (8)	47	11.0%
(Missing)	28	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
64	1	0.2%
65	3	0.7%
66	10	2.3%
67	36	8.4%
68	47	11.0%

Value	Count	Frequency (%)
81	1	0.2%
80	2	0.5%
79	12	2.8%
78	16	3.7%
77	6	1.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

First rows

	vehicle_name	smallsporty_compactlarge_sedan	sports_car	suv	awd	rwd	retail_price	dealer_cost	engine_size_(l)	cyl	hp	city_mpg	hwy_mpg	weight	wheel_base	len	width
0	Acura 3.5 RL 4dr	1	0	0	0	0	43755	39014	3.5	6	225	18.0	24.0	3880.0	115.0	197.0	72.0
1	Acura 3.5 RL w/Navigation 4dr	1	0	0	0	0	46100	41100	3.5	6	225	18.0	24.0	3893.0	115.0	197.0	72.0
2	Acura MDX	0	0	1	1	0	36945	33337	3.5	6	265	17.0	23.0	4451.0	106.0	189.0	77.0
3	Acura NSX coupe 2dr manual S	0	1	0	0	1	89765	79978	3.2	6	290	17.0	24.0	3153.0	100.0	174.0	71.0
4	Acura RSX Type S 2dr	1	0	0	0	0	23820	21761	2.0	4	200	24.0	31.0	2778.0	101.0	172.0	68.0
5	Acura TL 4dr	1	0	0	0	0	33195	30299	3.2	6	270	20.0	28.0	3575.0	108.0	186.0	72.0
6	Acura TSX 4dr	1	0	0	0	0	26990	24647	2.4	4	200	22.0	29.0	3230.0	105.0	183.0	69.0
7	Audi A4 1.8T 4dr	1	0	0	0	0	25940	23508	1.8	4	170	22.0	31.0	3252.0	104.0	179.0	70.0
8	Audi A4 3.0 4dr	1	0	0	0	0	31840	28846	3.0	6	220	20.0	28.0	3462.0	104.0	179.0	70.0
9	Audi A4 3.0 convertible 2dr	1	0	0	0	0	42490	38325	3.0	6	220	20.0	27.0	3814.0	105.0	180.0	70.0

Last rows

	vehicle_name	smallsporty_compactlarge_sedan	suv	wagon	awd	retail_price	dealer_cost	engine_size_(l)	cyl	hp	city_mpg	hwy_mpg	weight	wheel_base	len	width
418	Volvo S40 4dr	1	0	0	0	25135	23701	1.9	4	170	22.0	29.0	2767.0	101.0	178.0	68.0
419	Volvo S60 2.5 4dr	1	0	0	1	31745	29916	2.5	5	208	20.0	27.0	3903.0	107.0	180.0	71.0
420	Volvo S60 R 4dr	1	0	0	1	37560	35382	2.5	5	300	18.0	25.0	3571.0	107.0	181.0	71.0
421	Volvo S60 T5 4dr	1	0	0	0	34845	32902	2.3	5	247	20.0	28.0	3766.0	107.0	180.0	71.0
422	Volvo S80 2.5T 4dr	1	0	0	1	37885	35688	2.5	5	194	20.0	27.0	3691.0	110.0	190.0	72.0
423	Volvo S80 2.9 4dr	1	0	0	0	37730	35542	2.9	6	208	20.0	28.0	3576.0	110.0	190.0	72.0
424	Volvo S80 T6 4dr	1	0	0	0	45210	42573	2.9	6	268	19.0	26.0	3653.0	110.0	190.0	72.0
425	Volvo V40	0	0	1	0	26135	24641	1.9	4	170	22.0	29.0	2822.0	101.0	180.0	68.0
426	Volvo XC70	0	0	1	1	35145	33112	2.5	5	208	NaN	NaN	3823.0	109.0	186.0	73.0
427	Volvo XC90 T6	0	1	0	1	41250	38851	2.9	6	268	15.0	20.0	4638.0	113.0	189.0	75.0

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows